Implementing the parametric bootstrap in capture--recapture models with continuous co\-vari\-ates.

DOI10.1016/J.SPL.2003.07.010zbMath1048.62034OpenAlexW2097423474MaRDI QIDQ1423094

Peter G. M. van der Heijden, Eugene Zwane

Publication date: 14 February 2004

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2003.07.010

zbMATH Keywords

BootstrapCapture-recaptureLog-linear modelMultinomial logit modelPopulation-size estimation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (6)

A Review of the Use of Conditional Likelihood in Capture-Recapture Experiments ⋮ Estimating the size of undetected cases of the COVID-19 outbreak in Europe: an upper bound estimator ⋮ Uncertainty estimation in heterogeneous capture–recapture count data ⋮ Population estimation using the multiple system estimator in the presence of continuous covariates ⋮ Semiparametric models for capture-recapture studies with covariates ⋮ Generalized linear models and Capture-Recapture Method in a closed population: strengths and weaknesses

Cites Work

• Estimating Population Size for Sparse Data in Capture-Recapture Experiments
• Logistic Regression in Capture-Recapture Models
• On the statistical analysis of capture experiments

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